生物信息学2017，Vol.15Issue(4)：221-228,8.DOI:10.3969/j.issn.1672-5565.201705009
数据挖掘技术分析h MTERF1在胃癌中的表达及预后作用
Analysis of the prognostic roles of hMTERF1 in gastric cancer based on data mining
摘要
Abstract
To illustrate the prognostic roles of human mitochondrial transcription termination factor 1 ( hMTERF1) expression in gastric cancer based on data mining .Using BioGPS database analyzed hMTERF 1 expression in normal tissues.Using Oncomine database analyzed the expression of hMTERF 1 in gastric cancer.Using Kaplan-Meier Plotter database analyzed the prognostic roles of hMTERF 1 in gastric cancer patients .The BioGPS database shows hMTERF1 expression in all the human normal tissues , and hMTERF1 expression in cardiac myocytes , uterus corpus and skeletal muscle were higher than other tissues .Totally, 946 studies of different types relevant to the expression of hMTERF1 were identified in the Oncomine database .The hMTERF1 expression was statistically significant in 152 studies, overexpressed in 59 studies and underexpressed in the other 93 studies.A total of 20 studies were involved hMTERF1 in gastric cancer tissues and normal tissues , including 798 samples.Overall, hMTERF1 expression in gastric cancer is higher than that in normal tissues .Using Kaplan Meier-Plotter database to analyze the prognostic roles of hMTERF 1 in gastric cancer patients , the results showed that low expression of hMTERF1 could improve the overall survival time of the patients with gastric cancer (P=0.045).High hMTERF1 expression could improve the survival time of the patients with intestinal gastric cancer (P=0.028).Low hMTERF1 expression could improve the survival time of the patients with diffused gastric cancer (P=0.024).No significant changes were found in the survival time of the patients with mixed gastric cancer (P=0.310).The information of hMTERF1 expression in gastric cancer was quickly extracted by using data mining .关键词
hMTERF1/胃癌/数据挖掘/Oncomine数据库/预后Key words
Human MTERF1/Gastric cancer/Data mining/Oncomine database/Prognosis分类
医药卫生引用本文复制引用
孙美涛,自加吉,杨勇琴,严长宝,戴莉萍,余敏,熊伟..数据挖掘技术分析h MTERF1在胃癌中的表达及预后作用[J].生物信息学,2017,15(4):221-228,8.基金项目
国家自然科学基金(81560458, 31601155, 31760331) （81560458, 31601155, 31760331）
云南省教育厅科学研究基金项目(2016ZDX01,2016ZDX05) （2016ZDX01,2016ZDX05）
云南省中青年学术和技术带头人后备人才项目( 2017HB077) （ 2017HB077）
大理大学大学生创新创业计划项目( X-CXCY-2016-13) . （ X-CXCY-2016-13）
